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Drinking Water Engineering and Science An interactive open-access journal
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Journal metrics

CiteScore value: 2.2
CiteScore
2.2
SNIP value: 0.828
SNIP0.828
SJR value: 0.391
SJR0.391
Scimago H <br class='widget-line-break'>index value: 16
Scimago H
index
16

Volume 11, issue 1

Volume 11, issue 1

29 Jan 2018
Optimum coagulant forecasting by modeling jar test experiments using ANNs
Sadaf Haghiri, Amin Daghighi, and Sina Moharramzadeh
Drink. Water Eng. Sci., 11, 1–8, https://doi.org/10.5194/dwes-11-1-2018,https://doi.org/10.5194/dwes-11-1-2018, 2018
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05 Feb 2018
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
Jyotirmoy Bhardwaj, Karunesh K. Gupta, and Rajiv Gupta
Drink. Water Eng. Sci., 11, 9–17, https://doi.org/10.5194/dwes-11-9-2018,https://doi.org/10.5194/dwes-11-9-2018, 2018
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08 Mar 2018
Real-time hydraulic interval state estimation for water transport networks: a case study
Stelios G. Vrachimis, Demetrios G. Eliades, and Marios M. Polycarpou
Drink. Water Eng. Sci., 11, 19–24, https://doi.org/10.5194/dwes-11-19-2018,https://doi.org/10.5194/dwes-11-19-2018, 2018
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06 Apr 2018
Mass imbalances in EPANET water-quality simulations
Michael J. Davis, Robert Janke, and Thomas N. Taxon
Drink. Water Eng. Sci., 11, 25–47, https://doi.org/10.5194/dwes-11-25-2018,https://doi.org/10.5194/dwes-11-25-2018, 2018
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02 May 2018
The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies
Michael J. Davis and Robert Janke
Drink. Water Eng. Sci., 11, 49–65, https://doi.org/10.5194/dwes-11-49-2018,https://doi.org/10.5194/dwes-11-49-2018, 2018
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15 May 2018
Algorithms for optimization of branching gravity-driven water networks
Ian Dardani and Gerard F. Jones
Drink. Water Eng. Sci., 11, 67–85, https://doi.org/10.5194/dwes-11-67-2018,https://doi.org/10.5194/dwes-11-67-2018, 2018
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